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@mmmike/mikrofuzz

v0.1.0

Published

Zero-dependency fuzzy search library with smart word-boundary matching

Readme

@mmmike/mikrofuzz

Zero-dependency fuzzy search library with smart word-boundary matching. Adapted from @nozbe/microfuzz with ESM and Vite SSR compatibility.

Features

  • Zero dependencies - Pure JavaScript implementation
  • Smart matching - Prioritizes word boundaries over arbitrary letter matches
  • Scoring system - Lower scores = better matches
  • TypeScript - Full type definitions included
  • Highlight ranges - Returns match positions for highlighting

Installation

npm install @mmmike/mikrofuzz

Usage

Search an Array of Strings

import { createFuzzySearch } from "@mmmike/mikrofuzz";

const fruits = ["apple", "banana", "cherry", "grape"];
const search = createFuzzySearch(fruits);

const results = search("ban");
// [{ item: "banana", score: 0.5, matches: [[[0, 2]]] }]

Search Objects by Key

const users = [
  { id: 1, name: "John Doe" },
  { id: 2, name: "Jane Smith" },
];

const search = createFuzzySearch(users, { key: "name" });
const results = search("john");
// [{ item: { id: 1, name: "John Doe" }, score: 1, matches: [...] }]

Search Multiple Fields

const users = [
  { name: "John Doe", email: "[email protected]" },
  { name: "Jane Smith", email: "[email protected]" },
];

const search = createFuzzySearch(users, {
  getText: (user) => [user.name, user.email],
});

const results = search("john");
// Matches both name and email fields

One-Off Match

import { fuzzyMatch } from "@mmmike/mikrofuzz";

const result = fuzzyMatch("Hello World", "wor");
// { item: "Hello World", score: 1, matches: [[[6, 8]]] }

Scoring

Lower scores indicate better matches:

| Score | Match Type | |-------|------------| | 0 | Exact match | | 0.1 | Case/diacritics-insensitive exact match | | 0.5 | Starts with query | | 0.9 | Contains at word boundary (exact case) | | 1 | Contains at word boundary | | 1.5+ | Contains all query words (any order) | | 2 | Contains query anywhere | | 2+ | Fuzzy match (fewer chunks = better) |

Search Strategies

const search = createFuzzySearch(items, { strategy: "smart" }); // default

| Strategy | Description | |----------|-------------| | "smart" | Matches at word boundaries or 3+ character chunks | | "aggressive" | Classic fuzzy matching (any letters in order) | | "off" | Only exact, prefix, and contains matching |

API Reference

createFuzzySearch<T>(collection, options?)

Creates a reusable search function for a collection.

Options:

  • key?: string - Property name to search (for object arrays)
  • getText?: (item: T) => Array<string | null> - Custom text extraction
  • strategy?: "smart" | "aggressive" | "off" - Matching strategy

Returns: (query: string) => FuzzyResult<T>[]

fuzzyMatch(text, query)

One-off fuzzy match for a single string.

Returns: FuzzyResult<string> | null

normalizeText(str)

Normalize text (lowercase, remove diacritics).

Types

type Range = [number, number]; // [start, end] inclusive indices
type HighlightRanges = Range[];
type FuzzyMatches = Array<HighlightRanges | null>;

interface FuzzyResult<T> {
  item: T;
  score: number;
  matches: FuzzyMatches;
}

interface FuzzySearchOptions {
  key?: string;
  getText?: (item: unknown) => Array<string | null>;
  strategy?: "off" | "smart" | "aggressive";
}

License

MIT